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[1] Jie Song,et al. Human Body Model Fitting by Learned Gradient Descent , 2020, ECCV.
[2] Kyoung Mu Lee,et al. Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose , 2020, ECCV.
[3] Bernt Schiele,et al. 2D Human Pose Estimation: New Benchmark and State of the Art Analysis , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Lukasz Kidzinski,et al. 3D Pose Detection in Videos: Focusing on Occlusion , 2020, ArXiv.
[5] Bolei Zhou,et al. Learning Deep Features for Discriminative Localization , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Dragomir Anguelov,et al. SCAPE: shape completion and animation of people , 2005, ACM Trans. Graph..
[7] David F. Fouhey,et al. Full-Body Awareness from Partial Observations , 2020, ECCV.
[8] Cristian Sminchisescu,et al. Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows , 2020, ECCV.
[9] Pascal Fua,et al. Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision , 2016, 2017 International Conference on 3D Vision (3DV).
[10] Andrew Zisserman,et al. Sim2real transfer learning for 3D pose estimation: motion to the rescue , 2019, ArXiv.
[11] Kai Oliver Arras,et al. How Robust is 3D Human Pose Estimation to Occlusion? , 2018, ArXiv.
[12] Zhengyi Luo,et al. 3D Human Motion Estimation via Motion Compression and Refinement , 2020, ACCV.
[13] Ignas Budvytis,et al. Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild , 2020, BMVC.
[14] Abhishek Das,et al. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[15] Andrea Vedaldi,et al. Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation , 2020, 2021 International Conference on 3D Vision (3DV).
[16] Michael J. Black,et al. VIBE: Video Inference for Human Body Pose and Shape Estimation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Cristian Sminchisescu,et al. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Jian Sun,et al. Identity Mappings in Deep Residual Networks , 2016, ECCV.
[19] Liu Wu,et al. Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[20] Abhinav Gupta,et al. Non-local Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[21] Trevor Darrell,et al. Inferring 3D structure with a statistical image-based shape model , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[22] Juergen Gall,et al. A semantic occlusion model for human pose estimation from a single depth image , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[23] Jitendra Malik,et al. Learning 3D Human Dynamics From Video , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Yu Sun,et al. CenterHMR: a Bottom-up Single-shot Method for Multi-person 3D Mesh Recovery from a Single Image , 2020, ArXiv.
[25] Michael J. Black,et al. Detailed Human Shape and Pose from Images , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Ankur Agarwal,et al. Recovering 3D human pose from monocular images , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Kyoung Mu Lee,et al. I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image , 2020, ECCV.
[28] Peter V. Gehler,et al. Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image , 2016, ECCV.
[29] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[30] Michael J. Black,et al. Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[31] Kostas Daniilidis,et al. Convolutional Mesh Regression for Single-Image Human Shape Reconstruction , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Andrea Vedaldi,et al. Understanding deep image representations by inverting them , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Yi Yang,et al. Parsing Occluded People , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Jitendra Malik,et al. End-to-End Recovery of Human Shape and Pose , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[35] Peter V. Gehler,et al. Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation , 2018, 2018 International Conference on 3D Vision (3DV).
[36] Ming-Hsuan Yang,et al. Estimating Human Pose from Occluded Images , 2009, ACCV.
[37] Ignas Budvytis,et al. Indirect deep structured learning for 3D human body shape and pose prediction , 2017, BMVC.
[38] Ziyan Wu,et al. Hierarchical Kinematic Human Mesh Recovery , 2020, ECCV.
[39] Bodo Rosenhahn,et al. Supplementary Material to: Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera , 2018 .
[40] Dimitrios Tzionas,et al. Monocular Expressive Body Regression through Body-Driven Attention , 2020, ECCV.
[41] Katerina Fragkiadaki,et al. Epipolar Transformers , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Maria A. Amer,et al. Deep 3D Human Pose Estimation Under Partial Body Presence , 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).
[43] Peter V. Gehler,et al. DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Xiaowei Zhou,et al. Learning to Estimate 3D Human Pose and Shape from a Single Color Image , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[45] Dong Liu,et al. Deep High-Resolution Representation Learning for Human Pose Estimation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Andrea Vedaldi,et al. 3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data , 2020, NeurIPS.
[47] Bo Wang,et al. Occlusion-Aware Networks for 3D Human Pose Estimation in Video , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[48] Dimitrios Tzionas,et al. Expressive Body Capture: 3D Hands, Face, and Body From a Single Image , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Yangang Wang,et al. Object-Occluded Human Shape and Pose Estimation From a Single Color Image , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[51] Michael J. Black,et al. Combined discriminative and generative articulated pose and non-rigid shape estimation , 2007, NIPS.
[52] Tatsuya Harada,et al. Neural 3D Mesh Renderer , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[53] Yu Cheng,et al. 3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Training , 2020, AAAI.
[54] Xiaowei Zhou,et al. Coherent Reconstruction of Multiple Humans From a Single Image , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Iasonas Kokkinos,et al. HoloPose: Holistic 3D Human Reconstruction In-The-Wild , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[56] Ling Shao,et al. See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[57] Ersin Yumer,et al. Self-supervised Learning of Motion Capture , 2017, NIPS.
[58] Peter V. Gehler,et al. Unite the People: Closing the Loop Between 3D and 2D Human Representations , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Michael J. Black,et al. The Naked Truth: Estimating Body Shape Under Clothing , 2008, ECCV.
[60] Mark Everingham,et al. Learning effective human pose estimation from inaccurate annotation , 2011, CVPR 2011.